Deep Enhanced Imaging in Stroke and Vascular Neurology

NCT05614193 | Recruiting

• 1 other identifier: AI-301
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

Brief Summary

To investigate the performance of enhanced computed tomography (CT) or magnetic resonance (MR) imaging by deep learning relative to conventional CT or MR imaging in brain stroke and vascular neurology. We expect that the deep enhanced imaging method can shorten the time stay in the imaging session of stroke patients, optimize the overall imaging quality and improve the patients' care in imaging session.

Conditions

Radiology; Cerebral Stroke; Vascular Diseases

Keywords

Deep learning; Medical imaging; Cerebral stroke; Cerebrovascular disease; Vascular imaging

Outcome Measures

Primary Outcomes (1)

• The performance of deep enhanced imaging in lesion detection and diagnosis

  The performance of deep enhanced imaging in lesion detection and diagnosis, including imaging quality, accuracy, sensitivity and specificity in lesion detection and imaging diagnosis.

  1 year

Study Arms (1)

Imaging group

Participants with suspecting brain stroke or vascular lesion conducted conventional CT or MR imaging and deep enhanced imaging.

Diagnostic Test: Deep learning imaging enhancement

Interventions

Deep learning imaging enhancement DIAGNOSTIC_TEST

Conventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.

Imaging group

Eligibility Criteria

• Age: 18 Years - 100 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients have experienced stroke or cerebral ischemia and undergone brain imaging and vascular imaging.

You may qualify if:

• suspecting to have experienced stroke or cerebral ischemia and needed to undergo brain imaging and vascular imaging including CT or MRI
• no history of kidney failure
• a minimum age of 18 years
• obtained written informed consent

You may not qualify if:

• severe movement artifacts
• incidental finding of tumor lesion or craniocerebral surgery history
• poor imaging failed to perform deep learning method
• women who pregnancy

Sponsors & Collaborators

• Chinese PLA General Hospital: lead

Study Sites (1)

Chinese PLA General Hospital

Beijing, Beijing Municipality, 100853, China

RECRUITING

MeSH Terms

Conditions

Stroke; Vascular Diseases; Cerebrovascular Disorders

Condition Hierarchy (Ancestors)

Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Cardiovascular Diseases

Study Officials

• Lou Xin

  Chinese PLA General Hospital

  STUDY CHAIR

Central Study Contacts

Jinhao Lyu

CONTACT

+8615903562929; 330322990@qq.com

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Chairman

Study Record Dates

• First Submitted: November 5, 2022
• First Posted: November 14, 2022
• Study Start: December 1, 2022
• Primary Completion (Estimated): December 31, 2027
• Study Completion (Estimated): December 31, 2027
• Last Updated: February 8, 2023

Record last verified: 2023-02

Locations

CN (1)